“highly significant”

Intra- and interobserver agreements for the counts of IENFs were highly significant, as verified by correlations (intraobserver reliability for paw pad skin tested on two counts each for ten randomly chosen slides: R = 0.9879, p < 0.0001; interobserver reliability for paw pad skin tested on one count by two observers for ten randomly chosen slides: R = 0.8303, p = 0.0047).

Given our highly significant results we set the arbitrary voxel-level primary threshold at a more stringent P < 0.0001 for suprathreshold voxels, as is recommended for highly powered studies ( Woo et al., 2014 ).

A particularly strong association was found between reduced ANO7 staining and the presence of PTEN (10q23) deletions, which was highly significant in all cancers as well as in ERG-negative and ERG-positive cancers ( P < 0.0001 each).

There was a highly significant positive linear relationship between overall basal area and large tree basal area (F 1,28 = 127.5, R 2 = 0.82, P < 0.0001).

Highly significant differences were seen between control and experimental injected animals ( p <0.0001) ( Fig.

Here, * p < 0.05 stands for significant, ** p < 0.01 for highly significant, *** p < 0.001 for extremely significant and **** p < 0.0001 for most significant, ns for non-significant.

The test for heterogeneity remained highly significant (Wald Q = 208.05, df = 31, P < 0.0001; likelihood ratio test Q = 192.90, df = 31, P < 0.0001), further confirming inconsistency across the included datasets.

The logistic regression model was highly significant (p < 0.0001, Nagelkerke R2 = 0.35).

The difference in mineral gain was highly significant in dentin samples between the two infiltrants tested ( P = 0.0001), where nHA dentin samples revealed highest mineral gain.

Additionally, non-parametric one-way ANOVA analysis for comparing methylation levels of one loci in different tissues was highly significant for all loci (CpG-1 and CpG-2 for both male and female subpopulations, Krustal-Wallis test, p<0.0001) A relatively greater level of methylation was observed in most tissues at IAP-LTR, Line-1 and Myc .

However, terms for IL2 in addition to IL2×CSF2 produced highly significant models with coefficient p-values<1e-4.

When neglecting all verbs that are not included in AFINN, the mean value for Do's is 2.34 ( std = 0.62, n = 24) and the mean for Don'ts −2.37 ( std = 0.67, n = 19), with again highly significant statistics ( t = 23.28, p < 0.0001 *** ).

After changing to a higher dialysate K, the decrease in plasma K concentration after dialysis remained highly significant: from 4.59 (4.35–4.80) to 3.77 (3.26–4.07) mEq/L (P < 0.0001) 1 week after switching and from 4.80 (4.58–5.12) to 3.70 (3.36–4.25) mEq/L (P < 0.0001) 2 weeks after switching.

The Q statistic was highly significant (Q = 580.7; df = 12; p < 0.0001), confirming that the dispersion of effect sizes was greater than expected by chance.

After adjustment of effect size for potential publication bias using the trim-and-fill correction, missing studies were imputed in the funnel plot, resulting in lower, albeit still highly significant estimate of pooled mean difference (adjusted = +4.7 ETDRS letters; CI 95%: +3.7; +5.7; p<0.0001).

For all pulmonary function test parameters [forced expiratory volume in 1 second (FEV 1 ), forced vital capacity (FVC), FEV 1 /FVC, and forced expiratory flow (FEF (25-75) )] a highly significant (p < 0.0001) reduction of the values was observed in biomass users.

As there were highly significant differences ( P < 0.0001) in all assembled mitogenomes, we fit estimated copy numbers against chromosome lengths using linear regressions.

In Group I, glycerophospholipid metabolism exhibited highly significant differences ( p < 0.0001), and significant differences in ether lipid metabolism, vitamin digestion and absorption, and fat digestion and absorption ( p < 0.05, Figure 2 g).

ObStruct using Structure output at K = 2 and 8 sampling locations as predefined populations shows these to be strongly correlated ( R 2 = 0.39, P ≤ 0.0001) and using sampling locations with Structure output for K = 4 had a weaker correlation, though still highly significant ( R 2 = 0.27, P ≤ 0.0001).

This represents a highly significant reduction in relapse rate compared to the pre-RTX period (paired t -test, p < 0.0001; see Figure 1 ).

Chi-Square analysis showed the differences in the AI between the Han and Kazak and Mongol ethnicities were highly significant ( p <0.0001); there was no significant difference in the AI between the Han and Hui/Dongxiang, Uygur and Xibo ethnic groups.

The only variable that was significant was the NCEAS score, having a highly significant p-value in all of the models (p-value<0.0001).

The effects of fitness levels on the waist circumference and body fat% were highly significant in the unadjusted and adjusted analysis for age (p < 0.0001).

The combination between SCF and LRG1 showed highly significant difference in CRC patients compared with benign, healthy subjects, and among CRC groups (treated and non-treated) ( p < 0.0001).

(2024) ( Paz-Ares et al., 2024 ), the OR increased to 2.67, a change that was highly significant ( P < 0.0001).